import warnings
warnings.filterwarnings('ignore')
# Packages
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# SKTIME
from sktime.utils.plotting import plot_series
from sktime.forecasting.model_selection import temporal_train_test_split
from sktime.transformations.series.boxcox import LogTransformer
from sktime.forecasting.ets import AutoETS
from sktime.performance_metrics.forecasting import MeanSquaredError
from sktime.performance_metrics.forecasting import MeanAbsolutePercentageError
from sktime.performance_metrics.forecasting import mean_absolute_percentage_error
from sktime.forecasting.exp_smoothing import ExponentialSmoothing
from sktime.forecasting.naive import NaiveForecaster
from sktime.forecasting.model_selection import ExpandingWindowSplitter
from sktime.forecasting.model_selection import ForecastingGridSearchCV
from sktime.forecasting.compose import TransformedTargetForecaster
from sktime.forecasting.statsforecast import StatsForecastAutoARIMA
from sktime.forecasting.arima import ARIMA
# Statsmodels
import statsmodels.api as sm
from statsmodels.tsa.seasonal import STL, seasonal_decompose
df = pd.read_csv('../data/raw/datos.csv')
df["Date"] = pd.to_datetime(df["Date"])
df.set_index('Date', inplace=True)
df = df.sort_index()
df.index = df.index.to_period('D')
holidays = df[['DayOfWeek']]
Primero realizamos un procesamiento de datos,
La primera operacion que haremos seran crear dos nuevas tablas, una llamada zona en la que la nueva variable tendra un formato de zona, es decir, el formato de la variable será T1,T2 o T3.
La segunda modificación será crear una nueva variable de en formato de año y mes, para así poder realizar los distintos calculos de formatos mensuales
# He decidido eliminar los valores que la columna open sea igual a cero
#df = df[df['Open'] != 0]
df = df[['Store', 'Sales']]
df.head()
| Store | Sales | |
|---|---|---|
| Date | ||
| 2013-01-01 | T3d | 0 |
| 2013-01-01 | T1a | 0 |
| 2013-01-01 | T1b | 0 |
| 2013-01-01 | T1c | 0 |
| 2013-01-01 | T2a | 0 |
from sktime.utils.plotting import plot_series
import matplotlib.dates as mdates
def plot_sales(df, store, year):
# Filtrar el dataframe para seleccionar solo la tienda y año especificados
df_store_year = df[(df['Store'] == store) & (df.index.year == year)]
# Graficar la serie temporal con plot_series
plot_series(df_store_year['Sales'], markers='o')
plt.xlabel("Fecha")
plt.ylabel("Ventas")
plt.legend()
plot_sales(df,'T1a',2013)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T1a', 2014)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T1a', 2015)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T1b', 2013)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T1b', 2014)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T1b', 2015)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T1c', 2013)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T1c', 2014)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T1c', 2015)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T2a', 2013)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T2a', 2014)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T2a', 2015)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T2b', 2013)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T2b', 2014)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T2b', 2015)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T2c', 2013)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T2c', 2014)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T2c', 2015)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T3a', 2013)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T3a', 2014)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T3a', 2015)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T3b', 2013)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T3b', 2014)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T3b', 2015)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T3c', 2013)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T3c', 2014)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T3c', 2015)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T3d', 2013)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T3d', 2014)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
plot_sales(df,'T3d', 2015)
No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
df.head()
| Store | Sales | |
|---|---|---|
| Date | ||
| 2013-01-01 | T3d | 0 |
| 2013-01-01 | T1a | 0 |
| 2013-01-01 | T1b | 0 |
| 2013-01-01 | T1c | 0 |
| 2013-01-01 | T2a | 0 |
def get_zone(store):
return store[1]
df['Zone'] = df['Store'].apply(get_zone)
ventas_diarias = df.groupby(['Date', 'Zone'])['Sales'].sum()
ventas_diarias = ventas_diarias.reset_index()
ventas_diarias.columns = ['Date', 'Zone', 'Sales']
ventas_diarias=ventas_diarias.set_index('Date')
ventas_diarias.head()
| Zone | Sales | |
|---|---|---|
| Date | ||
| 2013-01-01 | 1 | 0 |
| 2013-01-01 | 2 | 0 |
| 2013-01-01 | 3 | 0 |
| 2013-01-02 | 1 | 12748 |
| 2013-01-02 | 2 | 21078 |
df_zone1 = ventas_diarias[ventas_diarias['Zone'] == '1']
df_zone1 = df_zone1[['Sales']]
plot_series(df_zone1, labels=["Zone 1"])
(<Figure size 1600x400 with 1 Axes>, <AxesSubplot: >)
df_zone2 = ventas_diarias[ventas_diarias['Zone'] == '2']
df_zone2 = df_zone2[['Sales']]
plot_series(df_zone2, labels=["Zone 2"])
(<Figure size 1600x400 with 1 Axes>, <AxesSubplot: >)
df_zone3 = ventas_diarias[ventas_diarias['Zone'] == '3']
df_zone3 = df_zone3[['Sales']]
plot_series(df_zone3, labels=["Zone 3"])
(<Figure size 1600x400 with 1 Axes>, <AxesSubplot: >)
ventas_T_diarias = df.groupby(['Date'])['Sales'].sum()
ventas_T_diarias = ventas_T_diarias.reset_index()
ventas_diarias.columns = ['Date', 'Sales']
ventas_T_diarias=ventas_T_diarias.set_index('Date')
ventas_T_diarias.head()
| Sales | |
|---|---|
| Date | |
| 2013-01-01 | 0 |
| 2013-01-02 | 61926 |
| 2013-01-03 | 53588 |
| 2013-01-04 | 56578 |
| 2013-01-05 | 54938 |
plot_series(ventas_T_diarias, labels=["Ventas totales diarias"],x_label= 'Fecha', y_label='Ventas')
(<Figure size 1600x400 with 1 Axes>, <AxesSubplot: xlabel='Fecha', ylabel='Ventas'>)
# Grafica de 2013
ventas_T_diarias_2013 = ventas_T_diarias.loc[ventas_T_diarias.index.year == 2013]
plot_series(ventas_T_diarias_2013, labels=["Ventas totales diarias"],x_label= 'Fecha', y_label='Ventas')
(<Figure size 1600x400 with 1 Axes>, <AxesSubplot: xlabel='Fecha', ylabel='Ventas'>)
# Grafica de 2014
ventas_T_diarias_2014 = ventas_T_diarias.loc[ventas_T_diarias.index.year == 2014]
plot_series(ventas_T_diarias_2014, labels=["Ventas totales diarias"],x_label= 'Fecha', y_label='Ventas')
(<Figure size 1600x400 with 1 Axes>, <AxesSubplot: xlabel='Fecha', ylabel='Ventas'>)
# Grafica de 2015
ventas_T_diarias_2015 = ventas_T_diarias.loc[ventas_T_diarias.index.year == 2015]
plot_series(ventas_T_diarias_2015, labels=["Ventas totales diarias"],x_label= 'Fecha', y_label='Ventas')
(<Figure size 1600x400 with 1 Axes>, <AxesSubplot: xlabel='Fecha', ylabel='Ventas'>)
# Estacionareidad
from sktime.transformations.series.boxcox import LogTransformer
df_tos = ventas_T_diarias['Sales']
transformer = LogTransformer()
log_tos= transformer.fit_transform(df_tos)
log_tos.tail()
fig, ax =plot_series(log_tos, labels=["Ingresos"])
ax.set_title('Ventas tos: Transformación LOG')
Text(0.5, 1.0, 'Ventas tos: Transformación LOG')
ventas_totales_semanales = df.resample('W').sum()
ventas_totales_semanales.index = ventas_totales_semanales.index.strftime('%Y-%m-%d')
ventas_totales_semanales.index = pd.to_datetime(ventas_totales_semanales.index)
ventas_totales_semanales.index = ventas_totales_semanales.index.to_period('W')
ventas_totales_semanales.head()
| Sales | |
|---|---|
| Date | |
| 2012-12-31/2013-01-06 | 227030 |
| 2013-01-07/2013-01-13 | 395390 |
| 2013-01-14/2013-01-20 | 305576 |
| 2013-01-21/2013-01-27 | 372581 |
| 2013-01-28/2013-02-03 | 335998 |
plot_series(ventas_totales_semanales, labels=["Ventas totales semanales"],x_label= 'Fecha', y_label='Ventas')
(<Figure size 1600x400 with 1 Axes>, <AxesSubplot: xlabel='Fecha', ylabel='Ventas'>)
from prophet import Prophet
y = ventas_T_diarias.reset_index(drop=False)
y.columns = ['ds', 'y']
y['ds'] = y['ds'].dt.to_timestamp('D')
y.plot()
<AxesSubplot: >
train = y.iloc[:745,:]
test = y.iloc[745:,:]
from prophet import Prophet
m = Prophet()
m.fit(train)
19:34:20 - cmdstanpy - INFO - Chain [1] start processing 19:34:20 - cmdstanpy - INFO - Chain [1] done processing
<prophet.forecaster.Prophet at 0x7fb27805f820>
future = m.make_future_dataframe(periods=len(test))
forecast = m.predict(future)
from sklearn.metrics import r2_score
print(r2_score(list(test['y']), list(forecast.loc[745:,'yhat'] )))
0.6007890832403079
import matplotlib.pyplot as plt
plt.plot(list(test['y']),'.-')
plt.plot(list(forecast.loc[745:,'yhat']),'r.-')
plt.show()
m2 = Prophet()
m2.add_seasonality(name='weekly', period=7, fourier_order=5)
m2.add_seasonality(name='monthly', period=30.5, fourier_order=5)
m2.add_seasonality(name='yearly', period=365.25, fourier_order=5)
m2.fit(train)
future2 = m2.make_future_dataframe(periods=len(test))
forecast2 = m2.predict(future2)
print(r2_score(list(test['y']), list(forecast2.loc[745:,'yhat'] )))
19:34:22 - cmdstanpy - INFO - Chain [1] start processing 19:34:22 - cmdstanpy - INFO - Chain [1] done processing
0.5902129265069169
Probamos un nuevo Prophet añadiendo estacionalidades mensuales y anuales, añadiendo así mismo la parte del dataframe de holidays para intentar mejorar el modelo, en búsquedad de que la predicción sea lo mejor posible
holidays = pd.read_csv('../data/raw/datos.csv')
holidays["Date"] = pd.to_datetime(holidays["Date"])
holidays = holidays.set_index('Date').sort_index()
holidays = holidays.reset_index()
holidays["StateHoliday"] = holidays["StateHoliday"].replace(["a", "b", "c"], 1)
holidays = holidays[holidays['StateHoliday'] == 1]
holidays = holidays[['Date', 'StateHoliday']]
holidays = holidays.drop(['StateHoliday'], axis=1)
holidays['holiday'] = 'holiday'
holidays.columns = ['ds', 'holiday']
m3 = Prophet(holidays=holidays)
m3.add_seasonality(name='monthly', period=30.5, fourier_order=7)
m3.add_seasonality(name='yearly', period=365.25, fourier_order=3)
m3.fit(train)
future3 = m3.make_future_dataframe(periods=len(test))
forecast3 = m3.predict(future3)
print(r2_score(list(test['y']), list(forecast3.loc[745:,'yhat'] )))
19:34:23 - cmdstanpy - INFO - Chain [1] start processing 19:34:23 - cmdstanpy - INFO - Chain [1] done processing
0.7544461831698667
Observando el resultado, de los tres modelos de Prophet que hemos realizado, este es el que mejor R^2 hemos obtenido, por lo tanto realizaremos las predicciones de los próximos 40 días mediante este modelo.
m3 = Prophet(holidays=holidays)
m3.add_seasonality(name='monthly', period=30.5, fourier_order=7)
m3.add_seasonality(name='yearly', period=365.25, fourier_order=5)
m3.fit(y)
future3 = m3.make_future_dataframe(periods=41)
forecast3 = m3.predict(future3)
19:34:24 - cmdstanpy - INFO - Chain [1] start processing 19:34:24 - cmdstanpy - INFO - Chain [1] done processing
# Tendencia y estacionalidad del modelo
fig2 = m3.plot_components(forecast3)
plt.show()
forecast3[942:].head()
| ds | trend | yhat_lower | yhat_upper | trend_lower | trend_upper | additive_terms | additive_terms_lower | additive_terms_upper | holiday | ... | weekly | weekly_lower | weekly_upper | yearly | yearly_lower | yearly_upper | multiplicative_terms | multiplicative_terms_lower | multiplicative_terms_upper | yhat | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 942 | 2015-08-01 | 66755.391992 | 62596.449336 | 90506.313594 | 66755.391992 | 66755.391992 | 9914.062874 | 9914.062874 | 9914.062874 | 0.0 | ... | 3380.220175 | 3380.220175 | 3380.220175 | -1679.197398 | -1679.197398 | -1679.197398 | 0.0 | 0.0 | 0.0 | 76669.454867 |
| 943 | 2015-08-02 | 66791.455043 | 578.239413 | 29698.429392 | 66791.455043 | 66791.455043 | -51486.898988 | -51486.898988 | -51486.898988 | 0.0 | ... | -58329.827963 | -58329.827963 | -58329.827963 | -1659.310931 | -1659.310931 | -1659.310931 | 0.0 | 0.0 | 0.0 | 15304.556055 |
| 944 | 2015-08-03 | 66827.518094 | 78660.870118 | 107571.453031 | 66827.518094 | 66827.518094 | 25806.294817 | 25806.294817 | 25806.294817 | 0.0 | ... | 20094.819801 | 20094.819801 | 20094.819801 | -1644.597063 | -1644.597063 | -1644.597063 | 0.0 | 0.0 | 0.0 | 92633.812911 |
| 945 | 2015-08-04 | 66863.581145 | 67495.794734 | 94870.067948 | 66863.581145 | 66863.581145 | 14359.610036 | 14359.610036 | 14359.610036 | 0.0 | ... | 10150.943474 | 10150.943474 | 10150.943474 | -1635.345176 | -1635.345176 | -1635.345176 | 0.0 | 0.0 | 0.0 | 81223.191181 |
| 946 | 2015-08-05 | 66899.644196 | 61871.329054 | 89665.344366 | 66899.644196 | 66899.644196 | 9866.872434 | 9866.872434 | 9866.872434 | 0.0 | ... | 6920.991374 | 6920.991374 | 6920.991374 | -1631.800558 | -1631.800558 | -1631.800558 | 0.0 | 0.0 | 0.0 | 76766.516630 |
5 rows × 28 columns
plot1 = m3.plot(forecast3)
predictions_daily = forecast3[['ds', 'yhat']].iloc[942:]
predictions_daily['yhat'] = predictions_daily['yhat'].where(predictions_daily['yhat'] > 16000, 0)
predictions_daily.head()
| ds | yhat | |
|---|---|---|
| 942 | 2015-08-01 | 76669.454867 |
| 943 | 2015-08-02 | 0.000000 |
| 944 | 2015-08-03 | 92633.812911 |
| 945 | 2015-08-04 | 81223.191181 |
| 946 | 2015-08-05 | 76766.516630 |
y_train, y_test = ventas_totales_semanales['Sales'].astype('float64')[:120],ventas_totales_semanales['Sales'].astype('float64')[120:]
plot_series(y_train, y_test, labels=["Train", "Test"])
(<Figure size 1600x400 with 1 Axes>, <AxesSubplot: >)
Realizamos un modelo ETS para predecir las ventas semanales, para ello fijamos que no tiene tendencia y que tiene una estacionalidad aditiva y que tiene un formato semanal.
model = AutoETS(auto=False, trend=None,seasonal="add",n_jobs=-1, sp=52)
fh_test = np.arange(1, len(y_test) +1)
model.fit(y_train)
AutoETS(n_jobs=-1, seasonal='add', sp=52)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
AutoETS(n_jobs=-1, seasonal='add', sp=52)
# Performance
#from sktime.performance_metrics.forecasting import MeanSquaredError
#from sktime.performance_metrics.forecasting import MeanAbsolutePercentageError
#from sktime.performance_metrics.forecasting import mean_absolute_percentage_error
RMSE = MeanSquaredError(square_root=True)
MAPE = MeanAbsolutePercentageError(symmetric=False)
def ForecastPerformance(original,forecast):
print(f'RMSE: {round(RMSE(original, forecast),2)}')
print(f'MAPE: {round(MAPE(original, forecast)*100,2)}%')
predictions = model.predict(fh_test)
ForecastPerformance(y_test,predictions)
RMSE: 45070.48 MAPE: 9.11%
plot_series(y_train[:20], y_test, predictions, labels=["Train", "Test","pred"])
(<Figure size 1600x400 with 1 Axes>, <AxesSubplot: >)
Observamos cuales son los resultados que hemos obtenido, teniendo en cuenta que son mejorables realizaremos una validación cruzada para el modelo ETS
# Cross Validation
#from sktime.forecasting.exp_smoothing import ExponentialSmoothing
#from sktime.forecasting.naive import NaiveForecaster
#from sktime.forecasting.model_selection import ExpandingWindowSplitter
#from sktime.forecasting.model_selection import ForecastingGridSearchCV
#from sktime.forecasting.compose import TransformedTargetForecaster
# Inputs: transformaciones y modelos
pipe = TransformedTargetForecaster(steps=[
("forecaster", NaiveForecaster())])
# Defenir el CV
cv = ExpandingWindowSplitter(
initial_window=60,
step_length=1,
start_with_window=True,
fh=fh_test)
# definir los modelos y los parametros (GRID)
gscv = ForecastingGridSearchCV(
forecaster=pipe,
param_grid=[{
"forecaster": [NaiveForecaster(sp=52)],
"forecaster__strategy": ["drift", "last", "mean"],
},
{
"forecaster": [ExponentialSmoothing(sp=52)],
"forecaster__trend": ["add", "mul"],
"forecaster__damped_trend": [True,False],
"forecaster__seasonal": ["add", "mul"],
},
],
cv=cv,
verbose=1,
n_jobs=-1)
# estimar todos los modelos pot CV
gscv.fit(y_train)
Fitting 46 folds for each of 11 candidates, totalling 506 fits
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=60.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=61.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=62.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=63.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=64.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=65.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=66.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=67.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=68.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=69.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=70.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=71.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=72.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=73.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=74.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=75.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=76.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=77.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=78.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=79.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=80.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=81.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=82.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=83.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=84.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=85.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=86.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=87.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=88.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=89.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=90.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=91.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=92.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=93.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=94.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=95.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=96.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=97.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=98.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=99.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=100.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=101.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=102.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=103.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=60.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=61.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=62.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=63.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=64.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=65.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=66.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=67.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=68.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=69.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=70.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=71.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=72.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=73.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=74.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=75.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=76.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=77.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=78.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=79.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=80.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=81.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=82.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=83.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=84.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=85.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=86.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=60.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=87.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=61.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=60.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=88.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=62.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=89.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=61.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=63.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=62.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=90.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=64.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=60.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=63.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=91.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=65.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=61.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=64.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=92.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=66.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=62.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=65.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=93.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=67.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=63.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=66.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=94.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=68.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=64.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=67.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=69.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=95.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=65.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=68.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=70.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=96.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=66.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=69.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=71.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=67.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=70.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=97.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=72.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=68.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=98.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=71.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=69.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=73.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=72.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=99.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=74.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=70.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=73.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=100.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=71.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=75.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=74.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=101.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=72.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=76.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=75.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=73.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=102.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=77.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=76.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=103.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=74.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=78.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=77.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=75.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=79.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=78.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=76.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=79.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=80.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=77.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=80.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=81.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=78.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=82.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=81.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=79.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=83.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=82.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=80.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=84.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=83.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=81.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=85.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=84.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=82.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=86.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=85.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=83.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=86.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=87.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=84.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=87.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=88.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=85.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=89.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=88.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=86.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=89.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=90.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=87.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=90.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=91.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=88.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=91.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=92.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=89.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=93.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=92.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=90.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=94.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=93.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=91.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=94.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=95.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=92.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=95.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=96.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=93.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=96.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=60.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=97.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=94.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=61.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=97.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=98.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=95.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=62.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=98.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=99.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=63.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=96.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=99.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=100.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=64.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=97.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=101.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=100.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=65.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=98.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=101.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=102.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=66.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=99.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=102.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=103.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=67.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=100.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=103.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=68.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=101.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=69.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=102.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=70.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=103.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=71.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=72.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=73.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=74.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=75.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=76.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=77.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=78.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=79.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=80.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=81.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=60.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=82.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=61.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=83.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=62.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=84.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=63.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=85.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=60.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=64.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=86.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=61.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=65.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=87.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=62.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=66.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=63.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=88.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=67.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=64.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=89.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=68.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=65.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=90.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=69.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=66.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=91.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=70.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=67.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=92.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=71.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=68.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=72.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=93.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=69.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=94.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=73.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=70.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=95.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=74.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=71.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=96.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=75.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=72.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=76.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=97.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=73.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=77.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=98.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=74.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=78.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=99.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=75.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=79.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=100.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=76.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=80.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=101.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=77.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=81.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=102.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=78.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=82.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=79.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=103.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=83.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=80.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=84.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=81.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=85.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=82.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=86.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=83.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=87.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=84.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=88.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=85.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=89.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=86.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=90.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=87.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=91.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=88.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=92.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=89.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=93.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=90.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=94.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=91.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=95.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=92.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=96.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=93.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=97.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=94.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=98.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=95.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=99.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=96.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=100.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=97.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=101.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=98.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=102.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=99.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=103.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=100.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=101.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=102.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=103.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
ForecastingGridSearchCV(cv=ExpandingWindowSplitter(fh=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]),
initial_window=60),
forecaster=TransformedTargetForecaster(steps=[('forecaster',
NaiveForecaster())]),
n_jobs=-1,
param_grid=[{'forecaster': [NaiveForecaster(sp=52)],
'forecaster__strategy': ['drift', 'last',
'mean']},
{'forecaster': [ExponentialSmoothing(sp=52)],
'forecaster__damped_trend': [True, False],
'forecaster__seasonal': ['add', 'mul'],
'forecaster__trend': ['add', 'mul']}],
verbose=1)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. ForecastingGridSearchCV(cv=ExpandingWindowSplitter(fh=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]),
initial_window=60),
forecaster=TransformedTargetForecaster(steps=[('forecaster',
NaiveForecaster())]),
n_jobs=-1,
param_grid=[{'forecaster': [NaiveForecaster(sp=52)],
'forecaster__strategy': ['drift', 'last',
'mean']},
{'forecaster': [ExponentialSmoothing(sp=52)],
'forecaster__damped_trend': [True, False],
'forecaster__seasonal': ['add', 'mul'],
'forecaster__trend': ['add', 'mul']}],
verbose=1)TransformedTargetForecaster(steps=[('forecaster', NaiveForecaster())])TransformedTargetForecaster(steps=[('forecaster', NaiveForecaster())])# Los resultados
gscv.cv_results_
| mean_test_MeanAbsolutePercentageError | mean_fit_time | mean_pred_time | params | rank_test_MeanAbsolutePercentageError | |
|---|---|---|---|---|---|
| 0 | 0.198281 | 0.041193 | 0.017666 | {'forecaster': NaiveForecaster(sp=52, strategy... | 9.0 |
| 1 | 0.155812 | 0.041000 | 0.014086 | {'forecaster': NaiveForecaster(sp=52), 'foreca... | 6.0 |
| 2 | 0.165716 | 0.042130 | 0.015004 | {'forecaster': NaiveForecaster(sp=52, strategy... | 8.0 |
| 3 | 0.146922 | 0.285299 | 0.028938 | {'forecaster': ExponentialSmoothing(damped_tre... | 4.0 |
| 4 | 0.105539 | 0.461684 | 0.015009 | {'forecaster': ExponentialSmoothing(damped_tre... | 1.0 |
| 5 | 0.141086 | 0.279962 | 0.023029 | {'forecaster': ExponentialSmoothing(damped_tre... | 3.0 |
| 6 | 0.139195 | 0.494488 | 0.014558 | {'forecaster': ExponentialSmoothing(damped_tre... | 2.0 |
| 7 | 0.155452 | 0.311623 | 0.013451 | {'forecaster': ExponentialSmoothing(seasonal='... | 5.0 |
| 8 | 0.160009 | 0.346387 | 0.018625 | {'forecaster': ExponentialSmoothing(seasonal='... | 7.0 |
| 9 | 1.101702 | 0.155173 | 0.014392 | {'forecaster': ExponentialSmoothing(seasonal='... | 11.0 |
| 10 | 0.462757 | 0.261731 | 0.008248 | {'forecaster': ExponentialSmoothing(seasonal='... | 10.0 |
# el tercer modelo
gscv.cv_results_["params"][3]
{'forecaster': ExponentialSmoothing(damped_trend=True, seasonal='add', sp=52, trend='add'),
'forecaster__damped_trend': True,
'forecaster__seasonal': 'add',
'forecaster__trend': 'add'}
# El performance del mejor modelo
gscv.best_score_
0.10553948987730635
# Predicción
cv_pred = gscv.predict(fh_test)
cv_pred
2015-04-20/2015-04-26 329560.017587 2015-04-27/2015-05-03 479668.798351 2015-05-04/2015-05-10 511308.440167 2015-05-11/2015-05-17 404064.071825 2015-05-18/2015-05-24 477033.357936 2015-05-25/2015-05-31 410806.377525 2015-06-01/2015-06-07 555015.160197 2015-06-08/2015-06-14 386459.618400 2015-06-15/2015-06-21 493924.673915 2015-06-22/2015-06-28 412547.024414 2015-06-29/2015-07-05 473184.689530 2015-07-06/2015-07-12 389626.852144 2015-07-13/2015-07-19 548586.326008 2015-07-20/2015-07-26 392279.415382 2015-07-27/2015-08-02 558010.194678 Freq: W-SUN, dtype: float64
# Performace
ForecastPerformance(y_test, cv_pred)
RMSE: 48694.62 MAPE: 8.71%
# Grafico zoom de las predicciones
plot_series(y_train[:20],y_test, cv_pred, labels=["Train", "Test","Predicción CV"])
(<Figure size 1600x400 with 1 Axes>, <AxesSubplot: >)
Observamos como mediante la validación cruzada mejora notablemente el MAPE, y al graficarlo observamos como se asemeja mas al test. Por lo tanto, utilizaremos el modelo de validación cruzada para sacar las predicciones de las 5 semanas posteriores
gscv.fit(ventas_totales_semanales)
Fitting 61 folds for each of 11 candidates, totalling 671 fits
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=60.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=61.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=62.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=63.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=64.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=65.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=66.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=67.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=68.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=69.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=70.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=71.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=72.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=73.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=74.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=75.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=76.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=77.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=78.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=79.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=80.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=81.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=82.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=83.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=84.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=85.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=86.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=87.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=88.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=89.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=90.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=91.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=92.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=93.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=94.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=95.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=96.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=97.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=98.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=99.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=100.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=101.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=102.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=103.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=60.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=60.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=60.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=61.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=61.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=62.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=61.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=62.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=63.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=63.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=62.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=64.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=63.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=64.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=65.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=64.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=65.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=66.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=65.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=66.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=67.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=67.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=66.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=68.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=68.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=67.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=69.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=69.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=68.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=70.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=70.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=69.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=71.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=71.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=70.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=72.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=71.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=72.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=73.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=72.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=73.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=74.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=73.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=74.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=74.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=75.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=75.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=76.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=75.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=76.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=77.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=76.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=77.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=78.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=77.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=78.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=79.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=78.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=79.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=80.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=79.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=80.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=81.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=80.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=81.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=82.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=81.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=82.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=83.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=82.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=83.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=84.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=83.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=84.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=85.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=84.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=85.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=86.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=86.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=85.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=87.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=86.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=87.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=88.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=87.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=88.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=89.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=88.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=89.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=90.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=90.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=89.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=91.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=90.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=91.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=92.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=92.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=91.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=93.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=92.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=93.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=94.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=93.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=94.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=95.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=95.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=94.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=96.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=96.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=95.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=97.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=97.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=96.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=98.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=98.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=97.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=99.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=99.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=60.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=98.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=100.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=61.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=100.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=99.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=101.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=62.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=101.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=100.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=63.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=102.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=102.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=101.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=64.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=103.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=103.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=102.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=65.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=103.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(damped_trend=True,
seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=66.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=67.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=68.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=69.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=70.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=71.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=72.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=73.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=74.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=75.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=76.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=77.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=78.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=79.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=80.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=81.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=82.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=83.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=84.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=85.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=86.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=87.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=88.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=89.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=90.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=91.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=92.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=93.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=94.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=95.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=96.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=97.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=98.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=99.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:83: RuntimeWarning: overflow encountered in matmul
return err.T @ err
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=100.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=101.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=102.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=103.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:83: RuntimeWarning: overflow encountered in matmul
return err.T @ err
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=60.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=61.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=62.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=63.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=64.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=65.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=66.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=67.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=68.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=69.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=70.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=71.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=72.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=73.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=74.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=75.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=76.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=77.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=78.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=79.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=80.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=81.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=82.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=83.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=84.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=85.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=86.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=87.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=88.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=89.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=90.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=91.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=92.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=93.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=94.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=95.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=96.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=97.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=98.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=60.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=99.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=61.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=100.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=62.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=101.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=63.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=102.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=64.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=65.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=103.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='add', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=66.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=67.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=68.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=60.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=69.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=61.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=70.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=62.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=63.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=71.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=64.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=72.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=73.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=65.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=74.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=66.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=75.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=67.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=76.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=68.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=77.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=69.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=78.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=70.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=79.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=71.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=72.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=80.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=73.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=81.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=74.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=82.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=75.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=83.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=76.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=84.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=77.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=85.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=78.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=86.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=79.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=87.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=80.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=88.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=81.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=89.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=82.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=90.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=83.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=91.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=84.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=92.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=85.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=93.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=94.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=86.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=87.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=95.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=88.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=96.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=89.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=97.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=90.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=91.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=98.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=99.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=92.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=100.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=93.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=101.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=94.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=102.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=95.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=96.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=103.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='add'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=97.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=98.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=99.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=100.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=101.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=102.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning:
Fitting of forecaster failed, you can set error_score='raise' to see
the exception message. Fit failed for len(y_train)=103.
The score will be set to nan.
Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
ExponentialSmoothing(seasonal='mul', sp=52,
trend='mul'))]).
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
warnings.warn(
ForecastingGridSearchCV(cv=ExpandingWindowSplitter(fh=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]),
initial_window=60),
forecaster=TransformedTargetForecaster(steps=[('forecaster',
NaiveForecaster())]),
n_jobs=-1,
param_grid=[{'forecaster': [NaiveForecaster(sp=52)],
'forecaster__strategy': ['drift', 'last',
'mean']},
{'forecaster': [ExponentialSmoothing(sp=52)],
'forecaster__damped_trend': [True, False],
'forecaster__seasonal': ['add', 'mul'],
'forecaster__trend': ['add', 'mul']}],
verbose=1)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. ForecastingGridSearchCV(cv=ExpandingWindowSplitter(fh=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]),
initial_window=60),
forecaster=TransformedTargetForecaster(steps=[('forecaster',
NaiveForecaster())]),
n_jobs=-1,
param_grid=[{'forecaster': [NaiveForecaster(sp=52)],
'forecaster__strategy': ['drift', 'last',
'mean']},
{'forecaster': [ExponentialSmoothing(sp=52)],
'forecaster__damped_trend': [True, False],
'forecaster__seasonal': ['add', 'mul'],
'forecaster__trend': ['add', 'mul']}],
verbose=1)TransformedTargetForecaster(steps=[('forecaster', NaiveForecaster())])TransformedTargetForecaster(steps=[('forecaster', NaiveForecaster())])fh1 = np.arange(1,6)
predictions1 = gscv.predict(fh1)
predictions1
| Sales | |
|---|---|
| 2015-08-03/2015-08-09 | 430688.059209 |
| 2015-08-10/2015-08-16 | 475763.554376 |
| 2015-08-17/2015-08-23 | 376603.501891 |
| 2015-08-24/2015-08-30 | 483049.512498 |
| 2015-08-31/2015-09-06 | 385460.580214 |
# Grafico zoom de las predicciones
plot_series(y_train[:20], predictions, cv_pred, y_test,predictions1, labels=["Train", "Prediccion","Predicción CV", "Test",'predictions'])
(<Figure size 1600x400 with 1 Axes>, <AxesSubplot: >)
#predictions1.to_csv('../data/predi_semanales.csv', header=False, index=False)